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An architecture to integrate discovered knowledge in a rule based system

datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorOliveira, Paulo
dc.contributor.authorRodrigues, Maria de Fátima Coutinho
dc.contributor.editorRamos, Carlos
dc.contributor.editorVale, Zita
dc.date.accessioned2026-04-15T14:37:54Z
dc.date.available2026-04-15T14:37:54Z
dc.date.issued2004-07-23
dc.description.abstractThe techniques and tools of Knowledge Discovery in Databases seek to transform data into knowledge in an “intelligent” and semi-automatic way. One of the possible uses to this discovered knowledge consists in its integration or fusion with the knowledge that is in the knowledge base of an Expert System. It thus complements the knowledge . initially given by the expert, which is not always complete, or the most up-to-date. Using an alternative source it is possible to discover knowledge that is implicit in data, and then proceed with its fusion with the one already in the knowledge base. However, this process can result in errors appearing (for example, inconsistencies) in the knowledge base resulting from the fusion. Thus, one of the requirements to fulfil is the consistency and correction of this new knowledge base. A generic and domain independent architecture that allows a rule based knowledge fusion, in the context above described is presented. Consistency and correction are guaranteed through the detection of errors, and by the adoption of an approach based in maximal consistent subsets of rules.eng
dc.identifier.citationOliveira, P. & Rodrigues, F. (2004, July 21-23). An architecture to integrate discovered knowledge in a rule based system. In Ramos, C. & Vale, Z. (Eds) Proceedings of the International Conference of Knowledge Engineering and Decision Support, ICKEDS´04. (pp. 205-212). Porto. Portugal
dc.identifier.isbn972-8688-24-5
dc.identifier.urihttp://hdl.handle.net/10400.22/32225
dc.language.isoeng
dc.peerreviewedyes
dc.publisherKnowledge Engineering and Decision Support Research Group - GECAD
dc.rights.uriN/A
dc.subjectrule based system
dc.subjectknowledge discovery in databases
dc.subjectrule bases fusion
dc.subjectrule bases fusion architecture
dc.subjectconsistent knowledge base
dc.subjectmaximal consistent subsets of rules
dc.titleAn architecture to integrate discovered knowledge in a rule based systemeng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2004-07-23
oaire.citation.conferencePlacePorto, Portugal
oaire.citation.endPage212
oaire.citation.startPage205
oaire.citation.titleInternational Conference of Knowledge Engineering and Decision Support, ICKEDS´04
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameRodrigues
person.givenNameMaria de Fátima Coutinho
person.identifier.orcid0000-0003-4950-7593
person.identifier.scopus-author-id7101624989
relation.isAuthorOfPublicationd144c436-b126-4215-aff5-909fc2f87302
relation.isAuthorOfPublication.latestForDiscoveryd144c436-b126-4215-aff5-909fc2f87302

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